Advances in colloid and interface science
May 20, 2026
Dual-atom catalysts (DACs) have emerged as a transformative class of atomically dispersed catalysts that bridge the gap between single-atom catalysts and metal clusters, offering unique opportunities for electrocatalysis through synergistic interacti... read more
Sweat-based metabolic monitoring offers a non-invasive alternative to blood tests, but its clinical utility is limited by the limited catalytic efficiency of current nanozyme sensors. Bimetallic nanozymes, with their intermetallic synergy, hold promi... read more
This mixed-methods study examined listening strategies, anxiety, and achievement among 436 vocational college EFL students in an AI-augmented blended learning program. Quantitative analysis revealed that strategies positively predicted achievement wh... read more
A MIL-88 B@ZIF-67 heterojunction nanozyme was rationally designed by adopting a MOF-on-MOF assembly strategy to boost catalytic performance through interfacial electronic structure modulation. Owing to the Fermi level difference between ZIF-67 and MI... read more
BACKGROUND: Heart failure (HF) affects 1-3% of adults globally with high hospital re-admission rates and healthcare costs. Research aims to improve the discharge process to reduce post-discharge complications. OBJECTIVES: This study compares the qual... read more
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
May 20, 2026
Analytical chromatography is a cornerstone of modern science, yet a growing proportion of its literature risks contributing little genuine innovation. Here, we offer a provocation: superficial scholarship, work that satisfies the formal expectations ... read more
Biomedical physics & engineering express
May 20, 2026
Treatment planning is a multi-disciplinary effort that requires medical decision-making, specialized training, and access to specialized software. Recently, deep learning has arisen as a powerful method for predicting patient-specific dose distributi... read more
Neurophysiological studies have shown that cortical information processing involves complex interactions among multiple functional brain regions. However, most existing EEG-based emotion recognition methods employ Graph Neural Networks (GNNs) to mode... read more
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